2 ms·
One question I have is- can we expect GPTQ quantization down to 4 bits (or lower) for these models, the same as for llama (which is partly why llama was so amaz
by andy_xor_andrew 4y ago
One question I have is- can we expect GPTQ quantization down to 4 bits (or lower) for these models, the same as for llama (which is partly why llama was so amazing?)
I'm sure the answer is "yes", but I wonder if there's anything that can be done that could make these models more "friendly" to quantization like this from the very beginning.
It's absolutely incredible that you can cut the size of a model in half... and then cut the size of the model in half *again*... and it fits on your consumer GPU with only a small cut in accuracy.
- MacsHeadroom 4y agoYes, these models are identical in architecture to GPT-NeoX which has already been GPTQ quantized. So you can quantize these with GPT-NeoX quantization scripts out of the box. There's also support in llama.cpp already.